Fiber optic sensor-based intelligent coal mines

T. Liu; C. Wang; Y. Wei; J. Ni; Y. Li; Q. Wang; L. Ma; Z. Shi; X. Liu

doi:10.1117/12.779874

1 November 2007 Fiber optic sensor-based intelligent coal mines

T. Liu, C. Wang, Y. Wei, J. Ni, Y. Li, Q. Wang, L. Ma, Z. Shi, X. Liu

Proceedings Volume 6423, International Conference on Smart Materials and Nanotechnology in Engineering; 64232P (2007) https://doi.org/10.1117/12.779874
Event: International Conference on Smart Materials and Nanotechnology in Engineering, 2007, Harbin, China

Abstract

Fiber optic sensors have become increasingly attractive for application in advanced intelligent coal mines, which consist of extensive sensor network to monitor the structural integrity, environmental safety and production parameters. Fiber optic based strain (mining pressure), temperature, water pressure, methane gas, seismic and ultrasound sensors can be used to monitor the condition of the coal mine and provide information for accident prediction and early warning. We report for the first time an all fiber optic comprehensive coal mine safety monitoring system. The system is capable of methane gas monitoring, temperature monitoring, seismic event and mine pressure detection and water pressure monitoring. The advantages of this fiber optic sensor system include intrinsic safety in explosive environment and multiparameter monitoring. The technology potentially can be used to replace many discrete and incompatible monitoring systems currently deployed in the coal mines and consequently greatly enhance coal mine safety.

Citation Download Citation

T. Liu, C. Wang, Y. Wei, J. Ni, Y. Li, Q. Wang, L. Ma, Z. Shi, and X. Liu "Fiber optic sensor-based intelligent coal mines", Proc. SPIE 6423, International Conference on Smart Materials and Nanotechnology in Engineering, 64232P (1 November 2007); https://doi.org/10.1117/12.779874

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available